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This is a machine learning project where I utilized the LeNet-5 architecture to create a convolutional deep network that classifies 43 different kind of traffic signs. I've made sure to include a full step-by-step implementation of the project as well as detailed notes for every step.

Home Page: https://www.redaysblog.com/projects/traffic-signs

License: MIT License

Jupyter Notebook 96.80% Python 3.20%
classification classification-model deep-learning deep-neural-networks lenet lenet-5 lenet-architecture machine-learning computer-vision model-evaluation

cnn_trafficsigns's Introduction

About Me

I'm a full-stack developer and data scientist from Boston, MA. I'm currently building StudyDSA, a free online resource for students to master data structures and algorithms. My portfolio features a range of open-source projects, from programming drones to training chess bots. I enjoy turning complex problems into beautiful simple solutions.

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